Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
55 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

Based on 239 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 289 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 76 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing and maintaining high-performance mapping technologies that power Uber’s global operations. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using cutting-edge technologies. You will work extensively with Python, C++, and JavaScript, leveraging tools like Docker and Kubernetes for containerization and orchestration. The role demands expertise in geospatial data processing, machine learning algorithms, and cloud services such as AWS or GCP. This position offers a unique opportunity to tackle complex challenges at scale, impacting millions of users worldwide through innovative mapping solutions.

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze data to improve driver retention and satisfaction rates.
  • Develop strategies to enhance on-time delivery performance metrics.
  • Coordinate with cross-functional teams to integrate new technologies.
  • Monitor market trends to inform business strategy and growth initiatives.

What we're looking for

  • Minimum 5 years of experience in software engineering or related field.
  • Proficiency in multiple programming languages such as Java, Python, and JavaScript.
  • Strong background in building scalable and high-performance systems.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and ability to work under pressure.

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